Objective
HIGH PROFILE combines industrial and clinical driven R&D activities dealing with image diagnostic platforms for the central nervous system. The project’s approach is to progress state-of-the-art by integrating imaging equipment for diagnostics –including algorithms, equipment and infrastructure for massive image processing and simulation– to support combinations of images from different medical equipment modalities (MRI, MRS, fMRI, NIRS, EIT and EEG) and comparison/fusion of images with physiological models of central nervous systems.
HIGH PROFILE aims to develop multi-scale, adaptive algorithms to merge information about the actual behavior of the brain, originating from (f)MRI, MRS, NIRS, EIT and EEG. These algorithms allow a physician to follow the status of the patient during his/her evolution, and be supported by a suitable content management platform and a data infrastructure capable of handling the massive quantities of data produced by these technologies, delivering them to their point of use.
Better imaging of the central nervous system and the head/neck area will improve diagnosis treatment of neurological diseases like insomnia, depression, multiple sclerosis and epilepsy, as well as brain and head/neck cancer. The approach developed by HIGH PROFILE for these conditions should also be extendable to the whole field of advanced medical imaging.
For deployment it is necessary to address the challenge of the increasing complexity of real time image processing. The necessary image processing components will be deployed on standard hardware to perform the necessary processing tasks. Image processing is a performance intensive task and system integrators will deploy it on emerging standard hardware platforms running (configurations of) multi-core processors. As this deployment is not only relevant for healthcare only, and a generic platform improves the possibilities to integrate external software, other domains are involved in the deployment of image processing chains.
APPROVED BY ARTEMIS-JU 24/06/2014
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences biological sciences neurobiology
- natural sciences computer and information sciences software
- medical and health sciences basic medicine neurology multiple sclerosis
- medical and health sciences clinical medicine oncology head and neck cancer
- engineering and technology medical engineering diagnostic imaging
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
ARTEMIS-2010-1
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
JTI-CP-ARTEMIS - Joint Technology Initiatives - Collaborative Project (ARTEMIS)
Coordinator
5684 PC Best
Netherlands
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Participants (18)
Participation ended
02044 VTT ESPOO
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3584 CX Utrecht
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2252 EG VOORSCHOTEN
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2312 NR Leiden
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5651 GG Eindhoven
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1017 VV AMSTERDAM
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1411AT NAARDEN
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1210 WIEN
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8020 Graz
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70211 KUOPIO
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02150 Espoo
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90630 OULU
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90590 Oulu
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8500 Kortrijk
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20864 Agrate Brianza
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40126 Bologna
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90133 Palermo
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1017 VV Amsterdam
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